Journal
NEUROCOMPUTING
Volume 374, Issue -, Pages 49-53Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2019.09.032
Keywords
Anomaly detection; Time-series; Online; Univariate; R
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This paper presents otsad, the first R package which implements a set of novel online detection algorithms for univariate time-series. Moreover, this package also provides advanced functionalities and contents such as new false positive reduction algorithm and the novel NAB detectors measurement technique which is specifically designed to measure online time-series anomaly detectors. (C) 2019 Elsevier B.V. All rights reserved.
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